Planning
Learn how AI agents plan and reason. Master chain-of-thought, tree-of-thoughts, task decomposition, and multi-step planning.
Prerequisites
Complete Level 2: Tool Use
🎯What You'll Learn
- ✓Chain-of-thought prompting
- ✓Tree of thoughts for complex reasoning
- ✓Planning algorithms for agents
- ✓Heuristic search and problem-solving
- ✓Multi-step task decomposition
💪Skills You'll Gain
🏆Learning Outcomes
📖Interactive Modules (10)
Planning Fundamentals
Understand agent planning: breaking down goals into executable action sequences.
Task Decomposition
Master task decomposition, dividing complex problems into manageable sub-tasks.
Chain of Thought
Learn chain-of-thought prompting to improve agent reasoning step-by-step.
ReAct Pattern (Reason + Act)
Explore ReAct pattern combining reasoning traces with action execution for transparency.
Plan-and-Execute Framework
Implement plan-and-execute framework: create plans first, then execute systematically.
Replanning & Adaptation
Learn dynamic replanning, adapting agent strategies when initial plans fail or change.
Goal-Oriented Planning
Master goal-oriented planning with hierarchical objectives and sub-goal achievement.
Constraint Handling
Understand constraint handling in planning: time limits, resources, permissions.
Planning Under Uncertainty
Learn to plan under uncertainty with probabilistic reasoning and contingency strategies.
Planning Strategy Simulator
Visualize and compare different planning strategies with interactive simulations.